Alessandro Epasto

1.2k total citations
26 papers, 471 citations indexed

About

Alessandro Epasto is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Alessandro Epasto has authored 26 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Alessandro Epasto's work include Privacy-Preserving Technologies in Data (9 papers), Complex Network Analysis Techniques (8 papers) and Complexity and Algorithms in Graphs (5 papers). Alessandro Epasto is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Complex Network Analysis Techniques (8 papers) and Complexity and Algorithms in Graphs (5 papers). Alessandro Epasto collaborates with scholars based in United States, Italy and Switzerland. Alessandro Epasto's co-authors include Silvio Lattanzi, Alessandro Panconesi, Eli Upfal, Lorenzo De Stefani, Matteo Riondato, Vahab Mirrokni, Allen Clement, Lorenzo Alvisi, Renato Paes Leme and Julinda Stefa and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Knowledge Discovery from Data and Algorithms.

In The Last Decade

Alessandro Epasto

26 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessandro Epasto United States 10 204 196 177 117 75 26 471
Amitabha Bagchi India 12 131 0.6× 197 1.0× 184 1.0× 82 0.7× 57 0.8× 57 526
Zhenying He China 9 211 1.0× 114 0.6× 83 0.5× 66 0.6× 73 1.0× 52 364
B. S. Panda India 12 200 1.0× 197 1.0× 300 1.7× 69 0.6× 20 0.3× 73 689
Byron J. Gao United States 12 284 1.4× 96 0.5× 61 0.3× 198 1.7× 100 1.3× 46 479
Ravi Konuru United States 12 234 1.1× 401 2.0× 116 0.7× 209 1.8× 32 0.4× 27 693
Ramesh R. Sarukkai United States 6 184 0.9× 100 0.5× 128 0.7× 184 1.6× 62 0.8× 25 446
Vacha Dave United States 9 300 1.5× 170 0.9× 111 0.6× 227 1.9× 123 1.6× 12 515
Silviu Maniu France 10 185 0.9× 68 0.3× 58 0.3× 68 0.6× 72 1.0× 20 335
Ramasuri Narayanam India 9 155 0.8× 75 0.4× 325 1.8× 100 0.9× 13 0.2× 30 499

Countries citing papers authored by Alessandro Epasto

Since Specialization
Citations

This map shows the geographic impact of Alessandro Epasto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alessandro Epasto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Epasto more than expected).

Fields of papers citing papers by Alessandro Epasto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Epasto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alessandro Epasto. The network helps show where Alessandro Epasto may publish in the future.

Co-authorship network of co-authors of Alessandro Epasto

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Epasto. A scholar is included among the top collaborators of Alessandro Epasto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessandro Epasto. Alessandro Epasto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Carey, CJ, Travis Dick, Alessandro Epasto, et al.. (2023). Measuring Re-identification Risk. Proceedings of the ACM on Management of Data. 1(2). 1–26. 9 indexed citations
2.
Epasto, Alessandro, et al.. (2022). k-Clustering with Fair Outliers. IRIS Research product catalog (Sapienza University of Rome). 5–15. 5 indexed citations
3.
Ahmadian, Sara, Alessandro Epasto, Mohammad Mahdian, et al.. (2020). Fair Hierarchical Clustering. Neural Information Processing Systems. 33. 21050–21060. 1 indexed citations
4.
Epasto, Alessandro, et al.. (2020). Smoothly Bounding User Contributions in Differential Privacy. Neural Information Processing Systems. 33. 13999–14010. 2 indexed citations
5.
Borassi, Michele, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, & Morteza Zadimoghaddam. (2019). Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives. 254–268. 6 indexed citations
6.
Epasto, Alessandro, Vahab Mirrokni, & Morteza Zadimoghaddam. (2019). Scalable diversity maximization via small-size composable core-sets. 1 indexed citations
7.
Epasto, Alessandro, Vahab Mirrokni, & Morteza Zadimoghaddam. (2019). Scalable Diversity Maximization via Small-size Composable Core-sets (Brief Announcement). 41–42. 3 indexed citations
8.
Epasto, Alessandro, Mohammad Mahdian, Vahab Mirrokni, & Song Zuo. (2018). Incentive-Aware Learning for Large Markets. 1369–1378. 5 indexed citations
9.
Epasto, Alessandro & Eli Upfal. (2018). Efficient Approximation for Restricted Biclique Cover Problems. Algorithms. 11(6). 84–84. 1 indexed citations
10.
Stefani, Lorenzo De, Alessandro Epasto, Matteo Riondato, & Eli Upfal. (2017). TRIÈST. ACM Transactions on Knowledge Discovery from Data. 11(4). 1–50. 40 indexed citations
11.
Epasto, Alessandro, Vahab Mirrokni, & Morteza Zadimoghaddam. (2017). Bicriteria Distributed Submodular Maximization in a Few Rounds. 25–33. 12 indexed citations
12.
Epasto, Alessandro, Silvio Lattanzi, & Renato Paes Leme. (2017). Ego-Splitting Framework. 145–154. 51 indexed citations
13.
Epasto, Alessandro, Ahmad Mahmoody, & Eli Upfal. (2017). Real-Time Targeted-Influence Queries over Large Graphs. 224–231. 1 indexed citations
14.
Stefani, Lorenzo De, Alessandro Epasto, Matteo Riondato, & Eli Upfal. (2016). TRIÈST. 825–834. 45 indexed citations
15.
Stefani, Lorenzo De, Alessandro Epasto, Eli Upfal, & Fabio Vandin. (2016). Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 1 indexed citations
16.
Epasto, Alessandro, et al.. (2015). Ego-net community mining applied to friend suggestion. Proceedings of the VLDB Endowment. 9(4). 324–335. 39 indexed citations
17.
Chierichetti, Flavio, Alessandro Epasto, Ravi Kumar, Silvio Lattanzi, & Vahab Mirrokni. (2015). Efficient Algorithms for Public-Private Social Networks. IRIS Research product catalog (Sapienza University of Rome). 139–148. 19 indexed citations
18.
Epasto, Alessandro, Jon Feldman, Silvio Lattanzi, Stefano Leonardi, & Vahab Mirrokni. (2014). Reduce and aggregate. IRIS Research product catalog (Sapienza University of Rome). 349–360. 4 indexed citations
19.
Epasto, Alessandro, et al.. (2014). Spreading rumours without the network. IRIS Research product catalog (Sapienza University of Rome). 107–118. 5 indexed citations
20.
Alvisi, Lorenzo, Allen Clement, Alessandro Epasto, Silvio Lattanzi, & Alessandro Panconesi. (2013). SoK: The Evolution of Sybil Defense via Social Networks. IRIS Research product catalog (Sapienza University of Rome). 382–396. 96 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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